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Yin-Fang Fang

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Open access 2026

Generalized Multivariate Laplace Filtering Algorithm Supresses Process and Measurement Noise Outliers

This article proposes a state estimation algorithm designed to effectively suppress process and measurement noise outliers and enhance the precision of state estimation. To accurately model heavy-tailed noise contaminated by outliers, we adopt a generalized multivariate Laplace (GML) distribution. Through a rigorous an...

Yuan-Chao Qu, Yin-Fang Fang, Rui-Cheng Ma et al. · 0 citations

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